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Scientific Levels of Field Data Analysis in Computing Research

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dc.contributor.author Asenahabi, Bostley M.
dc.contributor.author Ikoha, Peters A.
dc.date.accessioned 2023-02-09T09:02:53Z
dc.date.available 2023-02-09T09:02:53Z
dc.date.issued 2021-11
dc.identifier.issn 2321 – 919X
dc.identifier.uri http://41.89.205.12/handle/123456789/1843
dc.description.abstract Scientific research is a study that is systematically planned with a view of solving real life problems through creating new knowledge. A researcher requires to draft questions in line with the constructs and concept being handled. Data analysis begins with proper analysis of variables and literature to be reviewed. However, field data analysis involves descriptive, exploratory, inferential, predictive, causal and mechanistic. A desktop literature review of papers published in accredited research journals, books and popular articles was conducted. This review paper will be of great help to both occasional and seasonal researchers as they analyze data to solve problems scientifically and generate new knowledge. en_US
dc.description.sponsorship Asenahabi, Bostley M., Ikoha, Peters A. en_US
dc.language.iso en en_US
dc.publisher THE INTERNATIONAL JOURNAL OF SCIENCE & TECHNOLEDGE en_US
dc.subject Scientific research, en_US
dc.subject descriptive analysis, en_US
dc.subject exploratory analysis, en_US
dc.subject inferential analysis, en_US
dc.subject predictive analysis, en_US
dc.subject causal analysis en_US
dc.title Scientific Levels of Field Data Analysis in Computing Research en_US
dc.type Article en_US


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